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o4 vs DeepSeek R2

OpenAI vs DeepSeek. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

DeepSeek R2 is ~27.3× cheaper on a 3:1 input:output blend. DeepSeek R2 is open-weights, the other is proprietary.

OpenAI

Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.

State-of-the-art math and scienceExtremely high-ceiling reasoning

DeepSeek

DeepSeek’s reasoning variant. Competes with o4 on math at a fraction of the cost.

Frontier math at open-weights pricingLong CoT traces

Pricing

Input / 1M$15.00$0.55

Output / 1M$60.00$2.19

Context200K128K

Max output100K64K

LicenseProprietaryOpen weights

Released2026-02-182026-01-15

Benchmarks

MMLU Pro93.887.8

HumanEval92.390.1

SWE-Bench68.0—

MATH96.294.1

GPQA82.571.2

Per-task cost

Summarize a 1-hour meeting transcript$0.255$0.0093

Review a 500-line pull request$0.240$0.0088

Answer a customer support ticket$0.093$0.0034

Extract structured data from a resume$0.135$0.0049

Debug a stack trace with context$0.210$0.0077

Per-call cost using published token counts for each task. Real-world prompts vary.

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